Cover Image

BRISK local corner keypoints based hand position estimation for hand gesture trajectory tracking method

In recent years, dynamic hand gesture tracking has attracted the attention of many researchers. However, 2D-vision-based approaches have motivated a sizeable body of research and the rapid improvement of web cameras has facilitated their application to hand-held (portable) appliances, it is a critic...

Full description

Saved in:
Bibliographic Details
Main Authors: Thabet, Eman, Khalid, Fatimah, Sulaiman, Putri Suhaiza, Yaakob, Razali
Format: Article
Language:English
Published: 2017
Online Access:http://psasir.upm.edu.my/id/eprint/61029/1/BRISK%20local%20corner%20keypoints%20based%20hand%20position%20estimation%20for%20hand%20gesture%20trajectory%20tracking%20method.pdf
http://psasir.upm.edu.my/id/eprint/61029/
http://www.sign-ific-ance.co.uk/index.php/JASER/article/view/1578
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.upm.eprints.61029
record_format eprints
spelling my.upm.eprints.610292019-05-06T02:06:16Z http://psasir.upm.edu.my/id/eprint/61029/ BRISK local corner keypoints based hand position estimation for hand gesture trajectory tracking method Thabet, Eman Khalid, Fatimah Sulaiman, Putri Suhaiza Yaakob, Razali In recent years, dynamic hand gesture tracking has attracted the attention of many researchers. However, 2D-vision-based approaches have motivated a sizeable body of research and the rapid improvement of web cameras has facilitated their application to hand-held (portable) appliances, it is a critical process which has encountered many difficulties in the real world. These problems include variations in hand appearance, complicated background as well as confusion and drifting problems caused by the need to look for the hand in the total scene. To increase the accuracy of moving hand position estimation, this paper proposed a novel algorithm to track moving hand positions by searching corner keypoints of the hand last position, assuming that the difference between current and previous hand positions is little since the aim is to track the trajectory of hand movement. The proposed method uses corner keypoints of BRISK and minimum eigenvalue techniques extracted from last segmented region of hand to create searching windows and estimate hand region position on current frame image of video sequences. The experimental results revealed about correct estimation to hand position in the video sequences with non-linear hand movement in the challenging environment. 2017 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/61029/1/BRISK%20local%20corner%20keypoints%20based%20hand%20position%20estimation%20for%20hand%20gesture%20trajectory%20tracking%20method.pdf Thabet, Eman and Khalid, Fatimah and Sulaiman, Putri Suhaiza and Yaakob, Razali (2017) BRISK local corner keypoints based hand position estimation for hand gesture trajectory tracking method. Journal of Advanced Science and Engineering Research, 7 (1). pp. 43-57. ISSN 2231-8844 http://www.sign-ific-ance.co.uk/index.php/JASER/article/view/1578
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description In recent years, dynamic hand gesture tracking has attracted the attention of many researchers. However, 2D-vision-based approaches have motivated a sizeable body of research and the rapid improvement of web cameras has facilitated their application to hand-held (portable) appliances, it is a critical process which has encountered many difficulties in the real world. These problems include variations in hand appearance, complicated background as well as confusion and drifting problems caused by the need to look for the hand in the total scene. To increase the accuracy of moving hand position estimation, this paper proposed a novel algorithm to track moving hand positions by searching corner keypoints of the hand last position, assuming that the difference between current and previous hand positions is little since the aim is to track the trajectory of hand movement. The proposed method uses corner keypoints of BRISK and minimum eigenvalue techniques extracted from last segmented region of hand to create searching windows and estimate hand region position on current frame image of video sequences. The experimental results revealed about correct estimation to hand position in the video sequences with non-linear hand movement in the challenging environment.
format Article
author Thabet, Eman
Khalid, Fatimah
Sulaiman, Putri Suhaiza
Yaakob, Razali
spellingShingle Thabet, Eman
Khalid, Fatimah
Sulaiman, Putri Suhaiza
Yaakob, Razali
BRISK local corner keypoints based hand position estimation for hand gesture trajectory tracking method
author_facet Thabet, Eman
Khalid, Fatimah
Sulaiman, Putri Suhaiza
Yaakob, Razali
author_sort Thabet, Eman
title BRISK local corner keypoints based hand position estimation for hand gesture trajectory tracking method
title_short BRISK local corner keypoints based hand position estimation for hand gesture trajectory tracking method
title_full BRISK local corner keypoints based hand position estimation for hand gesture trajectory tracking method
title_fullStr BRISK local corner keypoints based hand position estimation for hand gesture trajectory tracking method
title_full_unstemmed BRISK local corner keypoints based hand position estimation for hand gesture trajectory tracking method
title_sort brisk local corner keypoints based hand position estimation for hand gesture trajectory tracking method
publishDate 2017
url http://psasir.upm.edu.my/id/eprint/61029/1/BRISK%20local%20corner%20keypoints%20based%20hand%20position%20estimation%20for%20hand%20gesture%20trajectory%20tracking%20method.pdf
http://psasir.upm.edu.my/id/eprint/61029/
http://www.sign-ific-ance.co.uk/index.php/JASER/article/view/1578
_version_ 1643837489236934656
score 13.211869

Similar Items